Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function

In this paper, several recurrent neural networks (RNNs) for solving the L1-minimization problem are proposed. First, a one-layer RNN based on the hyperbolic tangent function and the projection matrix is designed. In addition, the stability and global convergence of the previously presented RNN are p...

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Bibliographic Details

Published in:	Neural networks Vol. 153; pp. 1 - 12
Main Authors:	Wen, Hongsong, He, Xing, Huang, Tingwen
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.09.2022
Subjects:	[formula omitted]-minimization Finite-time convergence Finite-time RNN (FTRNN) Hyperbolic tangent function Sliding mode control technique Finite-time RNN (FTRNN) Hyperbolic tangent function Sliding mode control technique L1-minimization Finite-time convergence minimization
ISSN:	0893-6080, 1879-2782, 1879-2782
Online Access:	Get full text
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